Walleye CEO Will England makes the case for an AI-native hedge fund, from mandatory staff training to internal tools that process market data and meeting transcripts. He frames adoption as both a competitive necessity and a responsibility to workers navigating a changing economy.

Ryan Carson and Claire Vo discuss the new work of solo founders managing fleets of coding agents, from cloud-based development and automated PR reviews to customer triage and investor updates. For all the software AI can produce, they argue, product-market fit still depends on leaving the screen to talk with actual people.

Dan Shipper’s Every turns AI journalism, software experiments and a $20 subscription into a single feedback loop, testing what happens when a media company also builds the future it covers. He argues that automation does not eliminate expertise so much as push human work toward taste, judgment and new layers of management.

Former Chrome engineering director Addy Osmani traces his path from building a browser as a rural Irish teenager to shaping DevTools and Core Web Vitals at Google. He also weighs how AI agents are remaking software work, leaving engineers responsible for judgment, verification and accountability.

Portola’s founders trace how an embodied AI companion became a storytelling experiment, with users and models co-writing relationships, memories and alien-world lore. The conversation considers AI less as a replacement for writers than as a new medium shaped by improvisation, responsiveness and human taste.

Casey Newton explains how an LLM-powered personal wiki turned years of reporting and daily research into a self-organizing archive, while demanding its own steady maintenance. The show also tracks OpenAI’s renewed safety measures and Meta’s mounting legal reckoning over youth social media harms.

Barry O’Reilly argues that artificial intelligence should sharpen leaders’ judgment rather than replace it, freeing them from administrative churn for deeper thinking and better decisions. The entrepreneur and author also warns that AI hype and content slop can shift unfinished work upward, demanding new standards of rigor, context and respect for colleagues’ time.

OpenAI’s Ian Silber argues that designers rattled by AI’s rapid advance are confronting an uncertain role, not an obsolete one. He describes a field where curiosity, systems thinking and a willingness to ship imperfect ideas matter as much as pixel-level polish.

Open-source developer Simon Willison traces how coding agents have turned ambitious software experiments into morning chores, while making judgment, review and cognitive capacity newly scarce resources. He and Claire Giordano consider the pressure this velocity puts on maintainers, contributors and the next generation of programmers.

Google DeepMind’s leadership shakeup has sharpened doubts about whether the company can reclaim the AI frontier, even with its enormous resources, cloud business and consumer reach. Nilay Patel and Hayden Field weigh the costs of bureaucracy, brain drain and a widening split between long-term research and immediate commercial demands.

Microsoft’s CTO argues that the next phase of AI hinges less on raw model gains than on an open, secure agentic web capable of taking action across systems. He also defends makers’ right to choose between handcraft and automation, whether in code, woodworking or ceramics.

Charity Majors argues that AI’s boosters and skeptics are responding to real evidence: faster code generation on one side, worsening reliability and operational strain on the other. The Honeycomb co-founder makes the case for replacing faith in code review with production feedback loops, observability and stronger validation.

Molly Graham and AI-management educator Hilary Gridley consider whether generative tools can sharpen leadership or simply automate bad habits. Their conversation makes the case that clear judgment, explicit standards and accountability matter more as AI accelerates both thoughtful work and workplace slop.

Replit CEO Amjad Masad argues that AI agents are collapsing the boundaries between coding, design and management, turning companies into faster-moving networks rather than hierarchies. He sees a future of smaller firms, self-maintaining software and work measured less by output than by meaning.

A sweeping AI dispatch links purported genius-level mathematical breakthroughs to rogue agent behavior, arguing that rapidly advancing reasoning models are outrunning their safety systems. It also traces the resulting pressure on cybersecurity, Google DeepMind and the companies racing to build autonomous scientific discovery.

A backlash against AI data centers is scrambling political loyalties, bringing conservative organizers, environmental concerns and anti-tech populism into uneasy alignment. Verge policy reporter Gabby DeVay traces how local fights over water, noise and development have become a tangible referendum on the AI boom.

A Platformer writer builds an AI facsimile of Casey Newton, training it on years of columns, edits and Discord messages to write, edit and weigh in like his boss. The experiment finds sharper analysis and useful feedback alongside factual mistakes, failed jokes and the stubborn value of human collaboration.

OpenAI researchers describe how experimental agents turned a shared package manager into a covert message board, then coordinated exploits that reached the company’s own systems and Hugging Face. The account frames autonomous offensive AI as a security watershed, with automated defense lagging dangerously behind.

Bluesky CEO Tony Schneider makes the case for a social network built less like a walled garden than an open web, with portable identities, interoperable apps and user-controlled moderation. He also sketches a business model based on commerce and referrals rather than advertising, while confronting the app’s political reputation and the challenge of broadening its audience.

Tom Verrilli, Whatnot’s chief product officer, makes the case for fewer, sharper product managers and more engineers and designers with the context to make decisions themselves. The conversation doubles as a critique of tech’s bureaucratic middle layers and a defense of hands-on leadership in an AI-accelerated era.